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2023 Journal Article FactoFormer: factorized hyperspectral transformers with self-supervised pre-trainingMohamed, Shaheer, Haghighat, Maryam, Fernando, Tharindu, Sridharan, Sridha, Fookes, Clinton and Moghadam, Peyman (2023). FactoFormer: factorized hyperspectral transformers with self-supervised pre-training. IEEE Transactions on Geoscience and Remote Sensing, 62 5501614, 1-1. doi: 10.1109/tgrs.2023.3343392 |
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2023 Journal Article Pose-graph attentional graph neural network for lidar place recognitionRamezani, Milad, Wang, Liang, Knights, Joshua, Li, Zhibin, Pounds, Pauline and Moghadam, Peyman (2023). Pose-graph attentional graph neural network for lidar place recognition. IEEE Robotics and Automation Letters, 9 (2), 1182-1189. doi: 10.1109/lra.2023.3341766 |
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2023 Journal Article GeoAdapt: self-supervised test-time adaptation in LiDAR place recognition using geometric priorsKnights, Joshua, Hausler, Stephen, Sridharan, Sridha, Fookes, Clinton and Moghadam, Peyman (2023). GeoAdapt: self-supervised test-time adaptation in LiDAR place recognition using geometric priors. IEEE Robotics and Automation Letters, PP (99) 3337698, 915-922. doi: 10.1109/lra.2023.3337698 |
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2023 Journal Article CL3: generalization of contrastive loss for lifelong learningRoy, Kaushik, Simon, Christian, Moghadam, Peyman and Harandi, Mehrtash (2023). CL3: generalization of contrastive loss for lifelong learning. Journal of Imaging, 9 (12) 259, 1-16. doi: 10.3390/jimaging9120259 |
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2023 Journal Article Exploiting field dependencies for learning on categorical dataLi, Zhibin, Koniusz, Piotr, Zhang, Lu, Pagendam, Daniel Edward and Moghadam, Peyman (2023). Exploiting field dependencies for learning on categorical data. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45 (11), 13509-13522. doi: 10.1109/tpami.2023.3298028 |
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2023 Conference Publication Uncertainty-aware lidar place recognition in novel environmentsMason, Keita, Knights, Joshua, Ramezani, Milad, Moghadam, Peyman and Miller, Dimity (2023). Uncertainty-aware lidar place recognition in novel environments. 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, MI United States, 1 - 5 October 2023. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/iros55552.2023.10341383 |
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2023 Journal Article Subspace distillation for continual learningRoy, Kaushik, Simon, Christian, Moghadam, Peyman and Harandi, Mehrtash (2023). Subspace distillation for continual learning. Neural Networks, 167, 65-79. doi: 10.1016/j.neunet.2023.07.047 |
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2023 Conference Publication Deep robust multi-robot re-localisation in natural environmentsRamezani, Milad, Griffiths, Ethan, Haghighat, Maryam, Pitt, Alex and Moghadam, Peyman (2023). Deep robust multi-robot re-localisation in natural environments. 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, MI United States, 1 - 5 October 2023. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/iros55552.2023.10341798 |
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2023 Conference Publication Measuring situational awareness latency in human-robot teaming experimentsSenaratne, Hashini, Pitt, Alex, Talbot, Fletcher, Moghadam, Peyman, Sikka, Pavan, Howard, David, Williams, Jason, Kulić, Dana and Paris, Cécile (2023). Measuring situational awareness latency in human-robot teaming experiments. 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Busan, South Korea, 28-31 August 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ro-man57019.2023.10309377 |
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2023 Conference Publication Learning partial correlation based deep visual representation for image classificationRahman, Saimunur, Koniusz, Piotr, Wang, Lei, Zhou, Luping, Moghadam, Peyman and Sun, Changming (2023). Learning partial correlation based deep visual representation for image classification. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, BC Canada, 17-24 June 2023. Washington, DC United States: IEEE Computer Society. doi: 10.1109/cvpr52729.2023.00603 |
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2023 Conference Publication Wild-places: a large-scale dataset for lidar place recognition in unstructured natural environmentsKnights, Joshua, Vidanapathirana, Kavisha, Ramezani, Milad, Sridharan, Sridha, Fookes, Clinton and Moghadam, Peyman (2023). Wild-places: a large-scale dataset for lidar place recognition in unstructured natural environments. 2023 IEEE International Conference on Robotics and Automation (ICRA), London, United Kingdom, 29 May - 2 June 2023. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/icra48891.2023.10160432 |
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2023 Journal Article Spectral geometric verification: re-ranking point cloud retrieval for metric localizationVidanapathirana, Kavisha, Moghadam, Peyman, Sridharan, Sridha and Fookes, Clinton (2023). Spectral geometric verification: re-ranking point cloud retrieval for metric localization. IEEE Robotics and Automation Letters, 8 (5), 2494-2501. doi: 10.1109/lra.2023.3255560 |
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2023 Journal Article Plant species richness prediction from DESIS hyperspectral data: a comparison study on feature extraction procedures and regression modelsGuo, Yiqing, Mokany, Karel, Ong, Cindy, Moghadam, Peyman, Ferrier, Simon and Levick, Shaun R. (2023). Plant species richness prediction from DESIS hyperspectral data: a comparison study on feature extraction procedures and regression models. ISPRS Journal of Photogrammetry and Remote Sensing, 196, 120-133. doi: 10.1016/j.isprsjprs.2022.12.028 |
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2023 Conference Publication L3DMC: Lifelong learning using distillation via mixed-curvature spaceRoy, Kaushik, Moghadam, Peyman and Harandi, Mehrtash (2023). L3DMC: Lifelong learning using distillation via mixed-curvature space. MICCAI 2023: 26th International Conference, Vancouver, BC, Canada, 8–12 October 2023. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-43895-0_12 |
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2023 Conference Publication Flashback for continual learningMahmoodi, Leila, Harandi, Mehrtash and Moghadam, Peyman (2023). Flashback for continual learning. IEEE/CVF International Conference on Computer Vision (ICCV), Paris, France, 2-6 October 2023. Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/ICCVW60793.2023.00368 |
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2022 Conference Publication InCloud: incremental learning for point cloud place recognitionKnights, Joshua, Moghadam, Peyman, Ramezani, Milad, Sridharan, Sridha and Fookes, Clinton (2022). InCloud: incremental learning for point cloud place recognition. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, 23-27 October 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/iros47612.2022.9981252 |
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2022 Conference Publication A real-time edge-AI system for reef surveysLi, Yang, Liu, Jiajun, Kusy, Brano, Marchant, Ross, Do, Brendan, Merz, Torsten, Crosswell, Joey, Steven, Andy, Tychsen-Smith, Lachlan, Ahmedt-Aristizabal, David, Oorloff, Jeremy, Moghadam, Peyman, Babcock, Russ, Malpani, Megha and Oerlemans, Ard (2022). A real-time edge-AI system for reef surveys. ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW Australia, 17-21 October 2022. New York, NY, USA: ACM. doi: 10.1145/3495243.3558278 |
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2022 Journal Article What's in the black box? The false negative mechanisms inside object detectorsMiller, Dimity, Moghadam, Peyman, Cox, Mark, Wildie, Matt and Jurdak, Raja (2022). What's in the black box? The false negative mechanisms inside object detectors. IEEE Robotics and Automation Letters, 7 (3), 1-8. doi: 10.1109/lra.2022.3187831 |
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2022 Conference Publication LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place RecognitionVidanapathirana, Kavisha, Ramezani, Milad, Moghadam, Peyman, Sridharan, Sridha and Fookes, Clinton (2022). LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition. 2022 International Conference on Robotics and Automation (ICRA), Philadelphia, PA United States, 23-27 May 2022. Piscataway, NJ United States: IEEE. doi: 10.1109/icra46639.2022.9811753 |
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2022 Journal Article A Survey on Terrain Traversability Analysis for Autonomous Ground Vehicles: Methods, Sensors, and ChallengesBorges, Paulo, Peynot, Thierry, Liang, Sisi, Arain, Bilal, Wildie, Matthew, Minareci, Melih, Lichman, Serge, Samvedi, Garima, Sa, Inkyu, Hudson, Nicolas, Milford, Michael, Moghadam, Peyman and Corke, Peter (2022). A Survey on Terrain Traversability Analysis for Autonomous Ground Vehicles: Methods, Sensors, and Challenges. Field Robotics, 2 (1), 1567-1627. doi: 10.55417/fr.2022049 |
